The lack of plug-and-play programmability in conventional toolpath planning approach in subtractive manufacturing, i.e., machining leads to significantly higher manufacturing cost for CNC based prototyping. In computer aided manufacturing (CAM) packages, typical B-rep or NURBS based representations of the CAD interfaces challenge core computations of tool trajectories generation process, such as, surface offsetting to be completely automated. In this work, the problem of efficient generation of free-form surface offsets is addressed with a novel volumetric representation. It presents an image filter based offsetting algorithm, which leverages the parallel computing engines on modern graphics processor unit (GPU). The scalable voxel data structure and the proposed hardware-accelerated volumetric offsetting together advance the computation and memory efficiencies well beyond the capability of past studies. Additionally, in order to further accelerate the offset computation the problem of offsetting with a large distance is decomposed into successive offsetting using smaller distances. The accuracy of the offset algorithms is thoroughly analyzed. The developed GPU implementation of the offsetting algorithm is robust in computation, easy to comprehend, and achieves a 50-fold speedup on single graphics card (NVIDIA GTX780Ti) relative to prior best-performing dual socket quad-core CPU implementation.
Skip Nav Destination
ASME 2016 11th International Manufacturing Science and Engineering Conference
June 27–July 1, 2016
Blacksburg, Virginia, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4990-3
PROCEEDINGS PAPER
A Graphical Approach for Freeform Surface Offsetting With GPU Acceleration for Subtractive 3D Printing
Mohammad M. Hossain,
Mohammad M. Hossain
Georgia Institute of Technology, Atlanta, GA
Search for other works by this author on:
Richard W. Vuduc,
Richard W. Vuduc
Georgia Institute of Technology, Atlanta, GA
Search for other works by this author on:
Chandra Nath,
Chandra Nath
Georgia Institute of Technology, Atlanta, GA
Search for other works by this author on:
Thomas R. Kurfess,
Thomas R. Kurfess
Georgia Institute of Technology, Atlanta, GA
Search for other works by this author on:
Thomas M. Tucker
Thomas M. Tucker
Tucker Innovations Inc., Waxhaw, NC
Search for other works by this author on:
Mohammad M. Hossain
Georgia Institute of Technology, Atlanta, GA
Richard W. Vuduc
Georgia Institute of Technology, Atlanta, GA
Chandra Nath
Georgia Institute of Technology, Atlanta, GA
Thomas R. Kurfess
Georgia Institute of Technology, Atlanta, GA
Thomas M. Tucker
Tucker Innovations Inc., Waxhaw, NC
Paper No:
MSEC2016-8525, V002T04A031; 11 pages
Published Online:
September 27, 2016
Citation
Hossain, MM, Vuduc, RW, Nath, C, Kurfess, TR, & Tucker, TM. "A Graphical Approach for Freeform Surface Offsetting With GPU Acceleration for Subtractive 3D Printing." Proceedings of the ASME 2016 11th International Manufacturing Science and Engineering Conference. Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing. Blacksburg, Virginia, USA. June 27–July 1, 2016. V002T04A031. ASME. https://doi.org/10.1115/MSEC2016-8525
Download citation file:
43
Views
Related Proceedings Papers
Related Articles
A Graphics Processor Unit-Accelerated Freeform Surface Offsetting Method for High-Resolution Subtractive Three-Dimensional Printing (Machining)
J. Manuf. Sci. Eng (April,2018)
Voxel-Based Adaptive Toolpath Planning Using Graphics Processing Unit for Freeform Surface Machining
J. Manuf. Sci. Eng (January,2022)
Development of a Computer-Aided Manufacturing System for Profiled Edge Lamination Tooling
J. Manuf. Sci. Eng (August,2002)
Related Chapters
Computer Aided Manufacturing (CAM)
Computer Aided Design and Manufacturing
Managing Energy Resources from within the Corporate Information Technology System
Industrial Energy Systems
A Tool for Programming CNC Machining
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)